Online car-hailing shunting method and electronic equipment thereof

Abstract

The embodiment of the invention provides an online car-hailing shunting method and device, and the method comprises the steps: obtaining the license plate number information of a target online car-hailing vehicle and corresponding reservation information in an electronic fence range; based on license plate number information and the reservation information, matching a target lane and corresponding target getting-on time in at least one shunting lane; and determining at least one target getting-on area in the target lane according to the target lane and the target getting-on time, and guiding the target online hailed car to the target getting-on area. Through processing the license plate number information of the target online-hailed car and the reservation information requested by the corresponding passenger, the most ideal get-on place of the passenger is determined, and the online-hailed car is guided to go to wait, so that the matching degree of the passenger and a driver is improved, the shunting management of the online-hailed car is optimized, and the get-on efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of traffic management, and in particular to a method, device, electronic device and storage medium for online car-hailing diversion. Background Art

[0002] With the rapid development of the online ride-hailing industry, intelligent dispatching and vehicle management technologies are becoming increasingly important in improving the passenger experience and optimizing traffic flow. However, in practice, the online ride-hailing process is often hampered by traffic congestion, uneven passenger distribution, and chaotic vehicle arrival sequences. This leads to longer wait times for passengers and reduced driver efficiency. This is especially true at major transportation hubs like airports and train stations, where dispatching pressure is particularly acute during peak hours.

[0003] Traditional online ride-hailing management methods mostly rely on fixed pick-up points or manual dispatch, resulting in excessive concentration of some pick-up points, while resources in other areas are not effectively utilized, exacerbating regional traffic congestion, resulting in low passenger seat utilization, unbalanced resource utilization, and limited channel traffic efficiency during peak hours. Summary of the Invention

[0004] An embodiment of the present invention provides a method for diverting online ride-hailing vehicles to solve the problem that some boarding points in existing online ride-hailing vehicles are overly concentrated, while resources in other areas are not effectively utilized, resulting in low passenger seat utilization, unbalanced resource utilization, and limited channel traffic efficiency during peak hours.

[0005] In a first aspect, an embodiment of the present invention provides a method for diverting online ride-hailing services, the method comprising the following steps: Obtain the license plate number and corresponding reservation information of the target online car within the electronic fence; Based on the license plate information and the reservation information, matching a target lane and a corresponding target boarding time in at least one diversion lane; Based on the target lane and the target boarding time, at least one target boarding area is determined in the target lane, and the target online-hailing vehicle is directed to the target boarding area.

[0006] Optionally, obtaining the license plate number information and corresponding reservation information of the target online car-hailing vehicle within the electronic fence includes: Determine the order in which online-hailing vehicles are dispatched based on the order in which they enter the electronic fence, and obtain the license plate information of the corresponding online-hailing vehicles; Obtaining the reservation information requested by the passenger, including the estimated boarding time and order time; Based on the dispatch order and the order placement time, the license plate number information of the target online car-hailing vehicle is determined.

[0007] Optionally, matching a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information includes: Scanning the license plate number information to determine characteristic information corresponding to the license plate number; Processing the characteristic information according to a lane divergence rule to match a target lane in at least one diverging lane; According to the estimated boarding time and the target lane, a corresponding target boarding time is determined.

[0008] Optionally, before matching a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information, the method further includes: Determine the weight of the license plate tail number of online ride-hailing vehicles in the current electronic fence; Based on the weight of the license plate tail number ratio, online ride-hailing vehicles with a high license plate tail number ratio will be diverted to the priority lane; According to preset requirements, priority lanes and non-priority lanes are set according to the distance from the passenger exit area.

[0009] Optionally, the characteristic information includes the last number of the license plate, and the processing of the characteristic information according to the lane diversion rule to match the target lane in at least one diversion lane includes: Determine the last number of the license plate through camera module recognition; Match the tail number of the license plate with the preset tail number in the diversion lane to obtain a matching result; Based on the matching result, a target lane for the target online-hailing vehicle is determined in at least one diversion lane.

[0010] Optionally, determining at least one target boarding area in the target lane according to the target lane and the target boarding time includes: Determining at least one vacant parking space on the target lane; At least one target boarding area is determined in the at least one vacant parking space based on the at least one vacant parking space and the target boarding time.

[0011] Optionally, the determining at least one target boarding area in the at least one vacant parking space based on the at least one vacant parking space and the target boarding time further includes: When there are two or more vacant parking spaces, determining the first time a passenger arrives at the two or more vacant parking spaces; Determining a second time for the target online-hailing vehicle to arrive at the two or more vacant parking spaces; Based on the first time and the second time, at least one target boarding area is determined in the two or more vacant parking spaces.

[0012] In a second aspect, an embodiment of the present invention further provides a network-hailing car diversion device, the network-hailing car diversion device comprising: The first acquisition module is used to obtain the license plate information and corresponding reservation information of the target online car within the electronic fence; a first matching module, configured to match a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information; The second determination module is used to determine at least one target boarding area in the target lane according to the target lane and the target boarding time, and guide the target online car-hailing vehicle to the target boarding area.

[0013] In a third aspect, an embodiment of the present invention provides an electronic device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the online car-hailing diversion method provided in an embodiment of the present invention are implemented.

[0014] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the online car-hailing diversion method provided in the embodiment of the invention are implemented.

[0015] In an embodiment of the present invention, the license plate number information and corresponding reservation information of the target online-hailing vehicle are obtained within the range of the electronic fence; based on the license plate number information and the reservation information, a target lane and a corresponding target boarding time are matched in at least one diversion lane; based on the target lane and the target boarding time, at least one target boarding area is determined in the target lane, and the target online-hailing vehicle is directed to the target boarding area. By processing the license plate number information of the target online-hailing vehicle and the reservation information requested by the corresponding passenger, the most ideal boarding location for the passenger is determined, and the online-hailing vehicle is guided to wait there, thereby improving the matching degree between passengers and drivers, optimizing the diversion management of online-hailing vehicles, and thus improving the efficiency of boarding passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is a flow chart of a method for diverting online ride-hailing services provided by an embodiment of the present invention; Figure 2 2 is a schematic structural diagram of another online car-hailing diversion device provided in an embodiment of the present invention; Figure 3 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] like Figure 1 As shown, Figure 1 1 is a flow chart of a method for diverting online ride-hailing services provided by an embodiment of the present invention, the method comprising the steps of: 101. Within the electronic fence, obtain the license plate number information and corresponding reservation information of the target online car-hailing vehicle.

[0020] In an embodiment of the present invention, the above-mentioned online car-hailing diversion method can be applied to an online car-hailing diversion platform. The above-mentioned online car-hailing diversion platform has functions such as online car-hailing data processing, online car-hailing data transmission and reception, and online car-hailing data memory storage, and can be constructed based on a server or a server cluster. The above-mentioned server or server cluster can be an electronic device with online car-hailing data processing capabilities.

[0021] The above-mentioned electronic fence can be an area for parking online-hailing vehicles divided within a designated area through GPS or any other positioning device. In this embodiment, the above-mentioned electronic fence can be used to conduct real-time monitoring of online-hailing vehicles waiting for orders in a specific area (such as the online-hailing vehicle waiting area at the airport). When the online-hailing vehicle enters the electronic fence, its license plate number and other information are obtained. It can be understood that only the online-hailing vehicles parked within the above-mentioned electronic fence can obtain the reservation information requested by the passenger through the above-mentioned online-hailing vehicle diversion platform and other channels, and then leave the electronic fence according to the guidance of the above-mentioned online-hailing vehicle diversion platform and go to the passenger pick-up area to wait.

[0022] The target ride-hailing vehicle may be one that has already received the corresponding reservation information within the electronic fence, i.e., one that has been dispatched by the ride-hailing platform or other ride-hailing software and is ready to pick up passengers. The target ride-hailing vehicle may be determined based on the order in which the ride-hailing vehicles entered the electronic fence. For example, a ride-hailing vehicle that entered the electronic fence early may be given priority when dispatching passengers from the ride-hailing platform.

[0023] The above-mentioned license plate number information may include but is not limited to the license plate number, license plate type and license plate number characteristics. The above-mentioned license plate number characteristics can be analyzed based on the big data model on the last digit of the license plate number and other digits to determine the proportion weight of the last digit of the current license plate number in the current electronic fence.

[0024] The above-mentioned reservation information may include but is not limited to the expected boarding time, ordering time and expected arrival time at the destination. In a possible embodiment, after the passenger performs an online car-hailing reservation operation on the operating terminal, the above-mentioned online car-hailing diversion platform can capture the passenger's reservation operation, obtain the corresponding reservation information, and match the online car-hailing in the above-mentioned electronic fence based on the reservation information, and send the information of the successfully matched online car-hailing (i.e., the target online car-hailing that has successfully received the order) to the corresponding operating terminal for the passenger to go to the designated boarding point.

[0025] Specifically, the above-mentioned reservation information may also include information of the target online car-hailing vehicle, such as license plate number, driver information, driver's estimated arrival time, and previous historical order information. The above-mentioned online car-hailing diversion platform can match the above-mentioned driver's estimated arrival time and previous historical order information with the above-mentioned estimated boarding time and estimated arrival time at the destination, so as to achieve the purpose of prioritizing the corresponding passengers and online car-hailing vehicles.

[0026] 102. Based on the license plate information and the reservation information, match a target lane and a corresponding target boarding time in at least one diversion lane.

[0027] In an embodiment of the present invention, the above-mentioned diversion lanes can be different boarding channels divided according to lane diversion rules. These lanes receive target online-hailing vehicles with different reservation information and corresponding license plate number information according to different rules, which has the function of reasonably allocating online-hailing vehicle traffic, avoiding excessive congestion in a single lane, and improving the matching efficiency between passengers and online-hailing vehicles.

[0028] It should be noted that the above-mentioned diversion lanes can also include priority lanes and non-priority lanes. Priority lanes are generally located near passenger exits, that is, the time it takes for passengers to reach priority lanes is less than the time it takes to reach non-priority lanes. In another possible solution, diversion lanes with a larger number of target online ride-hailing vehicles parked can be priority lanes, and those with a smaller number can be non-priority lanes. Therefore, in an actual implementation plan, corresponding priority lanes and non-priority lanes can be set according to the time it takes for passengers to arrive at the diversion lanes, or the number of target online ride-hailing vehicles parked. For example, in order to avoid passengers gathering at the exit, priority lanes are set according to the number of target online ride-hailing vehicles parked, and the priority lanes are set farther away from the exit, so that more people stay away from the exit and prevent people from gathering at the exit. Alternatively, if there are many exits, corresponding priority lanes and non-priority lanes are set according to the time it takes for the exit to reach the diversion lanes, and more target online ride-hailing vehicles are arranged in priority lanes, so that passengers can get on and off quickly between the nearest exit and the nearest lane, preventing people from gathering at the exit.

[0029] The target lane can be used to receive a target online-hailing vehicle that meets the lane diversion rules. The lane diversion rules can be set based on the license plate information of the target online-hailing vehicle. For example: According to the license plate number tail rule: for example, vehicles with license plate tails 0 / 1 / 2 enter the first diversion lane, vehicles with license plate tails 3 / 4 / 5 / 6 enter the second diversion lane, and vehicles with license plate tails 7 / 8 / 9 enter the third diversion lane. It should be noted that in the specific implementation plan, different colors can be used to distinguish different lanes to facilitate identification by online ride-hailing drivers; According to the license plate type rules: green license plates enter the first diversion lane, blue license plates enter the second diversion lane, and oil trucks with higher pollution can be arranged in the diversion lane away from the exit.

[0030] The target boarding time can be calculated by the online ride-hailing diversion platform based on the time the passenger placed their order and their current location within the station, predicting the estimated time it will take for the passenger to reach the diversion lane from their current location. Alternatively, it can be the boarding time set by the passenger when placing their order. It is understood that the target boarding time can also be dynamically predicted and adjusted based on the online ride-hailing diversion platform's real-time location within the station, the passenger's duration of stay, and the traffic flow in the target lane.

[0031] 103. Based on the target lane and the target boarding time, determine at least one target boarding area in the target lane, and guide the target online-hailing vehicle to the target boarding area.

[0032] In an embodiment of the present invention, the target boarding area may be an idle parking space in the target lane. Specifically, a target lane may have multiple parking spaces for waiting for passengers to board. Since the parking spaces are arranged in a row along the lane, there are different distances from the exit. Then the online car-hailing diversion platform can calculate the nearest idle parking space based on the distance from the idle parking space in the current target lane to the exit, and the distance can be optimally matched by comprehensively considering the distances of the target online car-hailing vehicle, passengers and idle parking spaces, thereby satisfying the purpose of efficient boarding of passengers by both drivers and passengers.

[0033] In a possible embodiment, after the passenger fills in the reservation information through the operating terminal, the above-mentioned online car-hailing diversion platform matches the target online car-hailing in the above-mentioned electronic fence according to the reservation information, and determines the corresponding target lane and target boarding area in multiple diversion lanes according to the license plate number information of the target online car-hailing and the corresponding reservation information, and notifies both parties through the driver-side navigation, electronic guide screen and passenger App to guide the online car-hailing to the precise location and achieve efficient docking.

[0034] In an embodiment of the present invention, the license plate number information and corresponding reservation information of the target online-hailing vehicle are obtained within the range of the electronic fence; based on the license plate number information and reservation information, a target lane and a corresponding target boarding time are matched in at least one diversion lane; based on the target lane and target boarding time, at least one target boarding area is determined in the target lane, and the target online-hailing vehicle is directed to the target boarding area. By processing the license plate number information of the target online-hailing vehicle and the reservation information corresponding to the passenger's request, the passenger's ideal boarding location is determined, and the online-hailing vehicle is guided to the waiting location, thereby improving the matching degree between passengers and drivers, optimizing the diversion management of online-hailing vehicles, and thus improving passenger boarding efficiency.

[0035] Optionally, in the step of obtaining the license plate number information and corresponding reservation information of the target online-hailing vehicle within the electronic fence, the dispatching order for the online-hailing vehicle can be determined according to the order in which the online-hailing vehicles enter the electronic fence, and the license plate number information of the corresponding online-hailing vehicle can be obtained; the reservation information requested by the passenger can be obtained; and the license plate number information of the target online-hailing vehicle can be determined based on the dispatching order and the order time.

[0036] In an embodiment of the present invention, the above-mentioned reservation information may include but is not limited to the expected boarding time, ordering time, and expected arrival time at the destination. In a possible embodiment, after the passenger performs an online car-hailing reservation operation on the operating terminal, the above-mentioned online car-hailing diversion platform can capture the passenger's reservation operation, obtain the corresponding reservation information, and match the online car-hailing in the above-mentioned electronic fence based on the reservation information, and send the information of the successfully matched online car-hailing (i.e., the target online car-hailing that has successfully received the order) to the corresponding operating terminal for the passenger to go to the designated boarding point.

[0037] Specifically, the above-mentioned reservation information may also include information of the target online car-hailing vehicle, such as license plate number, driver information, driver's estimated arrival time, and previous historical order information. The above-mentioned online car-hailing diversion platform can match the above-mentioned driver's estimated arrival time and previous historical order information with the above-mentioned estimated boarding time and estimated arrival time at the destination, so as to achieve the purpose of prioritizing the corresponding passengers and online car-hailing vehicles.

[0038] In one possible embodiment, the above-mentioned online ride-hailing diversion platform uses an algorithm to set a reasonable time window for passenger boarding time, and then gives priority to the nearest online ride-hailing vehicle based on the current location and traffic conditions (traffic flow within the electronic fence), and adjusts the matching priority based on historical performance to reduce passenger waiting time and driver idle driving distance. It can also optimize route selection and predict driver arrival time based on real-time traffic data to ensure rapid response to passenger needs in a dynamically changing traffic environment.

[0039] Optionally, in the step of matching the target lane and the corresponding target boarding time in at least one diversion lane based on the license plate number information and the reservation information, the step also includes scanning the license plate number information to determine the characteristic information corresponding to the license plate number; processing the characteristic information according to the lane diversion rule to match the target lane in at least one diversion lane; and determining the corresponding target boarding time based on the expected boarding time and the target lane.

[0040] In this embodiment of the present invention, an electronic camera or optical character recognition (OCR) device (e.g., a license plate recognition gate) can be used to identify and record the license plates of online-hailing vehicles entering and exiting the electronic fence. Based on a big data algorithm, these license plates can be analyzed to obtain characteristic information such as the corresponding license plate tail number and license plate type. It is understood that this characteristic information can be used to match the aforementioned lane diversion rules, and based on the matching results, a suitable diversion lane can be selected as the target lane for the target online-hailing vehicle.

[0041] The lane diversion rules may include but are not limited to diversion based on license plate type, diversion based on license plate number tail number, and diversion based on the number of times the license plate number appears, etc. Specifically: According to the license plate number tail rule: for example, vehicles with license plate tails 0 / 1 / 2 enter the first diversion lane, vehicles with license plate tails 3 / 4 / 5 / 6 enter the second diversion lane, and vehicles with license plate tails 7 / 8 / 9 enter the third diversion lane. It should be noted that in the specific implementation plan, different colors can be used to distinguish different lanes to facilitate identification by online ride-hailing drivers; According to the license plate type rules: green license plates enter the first diversion lane, blue license plates enter the second diversion lane, and gasoline vehicles with higher pollution can be arranged in the diversion lane away from the exit; Based on the number of times the license plate number appears: According to the number of times the license plate of the target online car appears within the preset time period, it will be arranged in the diversion lane close to or away from the exit. It can also be diverted to a lane with multiple vacant parking spaces based on the number of times it appears.

[0042] In a possible embodiment, the online car-hailing diversion platform processes the characteristic information corresponding to the identified license plate through the lane diversion rules, and guides the driver to the corresponding target lane through the driver-side APP based on the processing results.

[0043] The target boarding time may also be selected based on the passenger's order, calculated by the online ride-hailing platform based on the time the passenger placed their order and the passenger's current location within the station, and the estimated time it will take for the passenger to reach the diversion lane from their current location. Alternatively, the target boarding time may be the boarding time set by the passenger when placing their order. It is understood that the target boarding time may also be dynamically predicted and adjusted based on the online ride-hailing platform's real-time location within the station, the passenger's duration of stay, and the traffic flow in the target lane.

[0044] More specifically, the above-mentioned online car-hailing diversion platform will optimize the above-mentioned matching process according to the above-mentioned estimated boarding time. For example, when a passenger chooses to board the car at 1:30, due to the excessive traffic volume in the diversion lane assigned to the target online car-hailing vehicle, the passenger's boarding time can be automatically adjusted according to the traffic volume, and the error is guaranteed to be about fifteen minutes before and after, that is, it can be guaranteed that the passenger will be matched with an available online car-hailing vehicle. In another implementation plan, it can also automatically match the online car-hailing vehicle in the electronic fence that can meet the boarding time according to the time the passenger chooses to board the car, so as to ensure that the passenger's boarding time will not change.

[0045] Optionally, in the step before matching the target lane and the corresponding target boarding time in at least one diversion lane based on the license plate number information and the reservation information, it also includes determining the weight of the license plate tail number ratio of the online-hailing vehicle in the current electronic fence; based on the weight of the license plate tail number ratio, the online-hailing vehicle with a high weight of the license plate tail number ratio is diverted to the priority lane; according to preset requirements, the priority lane and the non-priority lane are set according to the distance between the passenger exit area.

[0046] In an embodiment of the present invention, the aforementioned weighted proportions can be obtained by analyzing the distribution patterns of license plate numbers on the online ride-hailing platform through big data. For example, within the current electronic fence, vehicles with license plate numbers ending in 8 account for the highest proportion (14%), while vehicles with license plate numbers ending in 4 account for the lowest proportion (1%). Vehicles with license plate numbers ending in 0, 2, 3, 5, 6, and 9 each account for approximately 10%, and vehicles with license plate numbers ending in 1 and 7 account for approximately 8%. Therefore, online ride-hailing vehicles with high weighted proportions can be considered multiple vehicles. That is, to ensure that lane traffic does not become congested, vehicles can be evenly distributed to each lane based on their proportions. For example, the traffic flow in Area A of the online ride-hailing platform can be divided into three equal parts, with vehicles with license plate numbers ending in 0, 1, and 2 picking up passengers in the blue lane, vehicles with license plate numbers ending in 3, 4, 5, and 6 picking up passengers in the green lane, and vehicles with license plate numbers ending in 7, 8, and 9 picking up passengers in the orange lane, thereby improving the circulation efficiency of online ride-hailing vehicles.

[0047] The above-mentioned preset demand can be based on the planning of the current passenger boarding area, and corresponding priority lanes are set for online-hailing vehicles with a high license plate ratio. If the preset demand at this time is to avoid passengers gathering at the exit, the online-hailing vehicles with a high license plate ratio can be set in lanes away from the exit. If the preset demand at this time is for passengers to quickly board online-hailing vehicles, the online-hailing vehicles with a high license plate ratio can be set in lanes close to the exit.

[0048] Optionally, in the step of processing the feature information according to the lane diversion rules and matching the target lane in at least one diversion lane, it also includes determining the last number of the license plate through camera module recognition; matching the last number of the license plate with the preset last number in the diversion lane to obtain a matching result; and determining the target lane of the target online car-hailing vehicle in at least one diversion lane based on the matching result.

[0049] In an embodiment of the present invention, the above-mentioned preset tail number can be determined according to the above-mentioned preset demand and the setting of the diversion lane. Generally speaking, after the preset demand and the diversion lane are determined, according to the corresponding matching rules, for example, vehicles with license plate tail numbers 0 / 1 / 2 board passengers in the blue lane, vehicles with license plate tail numbers 3 / 4 / 5 / 6 board passengers in the green lane, and vehicles with license plate tail numbers 7 / 8 / 9 board passengers in the orange lane. When the target online car-hailing vehicle enters the gate for identification, it is identified at the gate of the corresponding lane. If the match is successful, it is allowed to pass. If the match is unsuccessful, it is required to turn around and re-enter the diversion lane for matching and identification. It should be noted that at this time, the above-mentioned online car-hailing diversion platform can reallocate the target online car-hailing vehicle to the passenger based on the number and duration of identification failures to reduce the situation where passengers wait too long due to driver errors.

[0050] Optionally, the step of determining at least one target boarding area in the target lane based on the target lane and the target boarding time also includes determining at least one vacant parking space in the target lane; and determining at least one target boarding area in at least one vacant parking space based on the at least one vacant parking space and the target boarding time.

[0051] In an embodiment of the present invention, a camera set up on the diversion lane can be used to detect the parking space situation in the current lane in real time, and the allocation of online-hailing vehicles can be dynamically adjusted according to the arrival situation of vehicles and the predetermined target boarding time. For example, if parking space No. 5 on the target lane is vacant, and an online-hailing vehicle is expected to arrive in a short time, and the passenger boarding time of the vehicle is approaching, the vehicle will be assigned to parking space No. 5.

[0052] Furthermore, based on the passenger's location and estimated arrival time at the lane, if the passenger is expected to arrive in 5 minutes, priority will be given to the vacant parking space closest to the passenger's current location to reduce the time the passenger spends walking to the parking space. That is, the above-mentioned online car-hailing diversion platform can determine the most suitable boarding point by analyzing the real-time location data of passengers and vehicles, ensuring that passengers can board the vehicle smoothly in the shortest waiting time.

[0053] The above method not only provides more convenient services for passengers, but also brings higher vehicle utilization efficiency and better resource management capabilities to operators.

[0054] Optionally, in the step of determining at least one target boarding area in at least one free parking space based on at least one free parking space and a target boarding time, the step also includes determining a first time when the passenger arrives at the two or more free parking spaces when there are more than two free parking spaces; determining a second time when the target online-hailing vehicle arrives at the two or more free parking spaces; and determining at least one target boarding area in the two or more free parking spaces based on the first time and the second time.

[0055] In an embodiment of the present invention, the aforementioned first time may be the estimated time it takes for a passenger to arrive at a vacant parking space. Generally, the estimated time it takes for a passenger to arrive at a vacant parking space can be calculated in real time based on the real-time location of the passenger within the station. It should be noted that this calculation process can be adjusted based on the passenger's duration of stay, walking speed, and the flow of people within the station, thereby optimizing the calculation result and providing an accurate estimated time.

[0056] The above-mentioned second time can be the estimated arrival time calculated based on the remaining vacant parking spaces on the current target lane after the target online car-hailing vehicle arrives at the gate and is identified, that is, the time it takes to reach each vacant parking space after entering the gate. Generally speaking, the closer the vacant parking space is to the gate, the shorter the arrival time of the target online car-hailing vehicle. Therefore, the time cannot be calculated only according to the distance. The corresponding time weight can also be set according to the distance, and combined with the above-mentioned first time for comprehensive calculation to ensure two-way convenience for passengers and online car-hailing vehicles and meet the corresponding time length.

[0057] In a possible embodiment, the online car-hailing diversion platform determines an empty parking space that is reasonable for both parties, such as an empty parking space that is comfortable in terms of time and distance, by comprehensively calculating the first time when the passenger arrives at the empty parking space and the second time when the online car-hailing arrives at the empty parking space, and uses it as the target boarding area.

[0058] like Figure 2 As shown, an embodiment of the present invention further provides a network-hailing car diversion device 200, which includes: The first acquisition module 201 is used to obtain the license plate information and corresponding reservation information of the target online car-hailing vehicle within the electronic fence; A first matching module 202 is configured to match a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information; The second determination module 203 is used to determine at least one target boarding area in the target lane according to the target lane and the target boarding time, and guide the target online-hailing vehicle to the target boarding area.

[0059] Optionally, the first obtaining module 201 includes: The first determination module is used to determine the order of dispatching online-hailing vehicles according to the order in which the online-hailing vehicles enter the electronic fence, and obtain the license plate information of the corresponding online-hailing vehicles; A first acquisition module is used to obtain the reservation information requested by the passenger, wherein the reservation information includes the estimated boarding time and the order time; The second determination module is used to determine the license plate number information of the target online car-hailing vehicle based on the dispatch order and the order time.

[0060] Optionally, the first matching module 202 includes: A first determining submodule is configured to scan the license plate number information and determine feature information corresponding to the license plate number; a first processing submodule, configured to process the feature information according to a lane divergence rule and match a target lane in at least one diverging lane; The second determining submodule is configured to determine a corresponding target boarding time according to the estimated boarding time and the target lane.

[0061] Optionally, the above device further includes: The third determination module is used to determine the weight of the license plate tail number of the online ride-hailing vehicle in the current electronic fence; The first setting module is used to divert online ride-hailing vehicles with a high proportion of license plate number tail numbers to the priority lane based on the proportion of license plate number tail numbers; The second setting module is used to set the priority lane and the non-priority lane according to the distance from the passenger exit area according to preset requirements.

[0062] Optionally, the second determining module 203 includes: The first recognition submodule is used to identify the last digit of the license plate through the camera module; The first matching submodule is used to match the last digit of the license plate with the preset last digit in the diversion lane to obtain a matching result; The third determination submodule is used to determine the target lane of the target online car-hailing vehicle in at least one diverging lane based on the matching result.

[0063] Optionally, the second determining module 203 includes: a fourth determining submodule, configured to determine at least one vacant parking space on the target lane; The fifth determining submodule is configured to determine at least one target boarding area in the at least one vacant parking space based on the at least one vacant parking space and the target boarding time.

[0064] Optionally, the fifth determining submodule includes: a first determining unit, configured to determine, when there are two or more vacant parking spaces, a first time for a passenger to arrive at the two or more vacant parking spaces; A second determining unit is configured to determine a second time for the target online-hailing vehicle to arrive at the two or more vacant parking spaces; The third determining unit is configured to determine at least one target boarding area among the two or more vacant parking spaces based on the first time and the second time.

[0065] like Figure 3 As shown, an embodiment of the present invention further provides an electronic device 300, including a processor, which can execute any of the above-mentioned online car-hailing diversion methods.

[0066] Specifically, the system includes a processor 301, a memory 302, and a computer program for executing a method for diverting online ride-hailing services, which is stored in the memory 302 and can be run on the processor 301, wherein: The processor 301 runs the computer program of the online car-hailing diversion method stored in the memory 302 and performs the following steps: Obtain the license plate number and corresponding reservation information of the target online car within the electronic fence; Based on the license plate information and the reservation information, matching a target lane and a corresponding target boarding time in at least one diversion lane; Based on the target lane and the target boarding time, at least one target boarding area is determined in the target lane, and the target online-hailing vehicle is directed to the target boarding area.

[0067] Optionally, the processor 301 executes the acquisition of the license plate information and corresponding reservation information of the target online car-hailing vehicle within the electronic fence, including: Determine the order in which online-hailing vehicles are dispatched based on the order in which they enter the electronic fence, and obtain the license plate information of the corresponding online-hailing vehicles; Obtaining the reservation information requested by the passenger, including the estimated boarding time and order time; Based on the dispatch order and the order placement time, the license plate number information of the target online car-hailing vehicle is determined.

[0068] Optionally, the processor 301 performs the matching of a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information, including: Scanning the license plate number information to determine characteristic information corresponding to the license plate number; Processing the characteristic information according to a lane divergence rule to match a target lane in at least one diverging lane; According to the estimated boarding time and the target lane, a corresponding target boarding time is determined.

[0069] Optionally, before the processor 301 performs the matching of a target lane and a corresponding target boarding time in at least one diverging lane based on the license plate information and the reservation information, the method further includes: Determine the weight of the license plate tail number of online ride-hailing vehicles in the current electronic fence; Based on the weight of the license plate tail number ratio, online ride-hailing vehicles with a high license plate tail number ratio will be diverted to the priority lane; According to preset requirements, priority lanes and non-priority lanes are set according to the distance from the passenger exit area.

[0070] Optionally, the processor 301 executes the feature information including the last number of the license plate, and processes the feature information according to the lane diversion rule to match the target lane in at least one diversion lane, including: Determine the last number of the license plate through camera module recognition; Match the tail number of the license plate with the preset tail number in the diversion lane to obtain a matching result; Based on the matching result, a target lane for the target online-hailing vehicle is determined in at least one diversion lane.

[0071] Optionally, the processor 301 further executes the step of determining at least one target boarding area in the target lane according to the target lane and the target boarding time, including: Determining at least one vacant parking space on the target lane; At least one target boarding area is determined in the at least one vacant parking space based on the at least one vacant parking space and the target boarding time.

[0072] Optionally, the processor 301 further executes the step of determining at least one target boarding area in the at least one vacant parking space based on the at least one vacant parking space and the target boarding time, further comprising: When there are two or more vacant parking spaces, determining the first time a passenger arrives at the two or more vacant parking spaces; Determining a second time for the target online-hailing vehicle to arrive at the two or more vacant parking spaces; Based on the first time and the second time, at least one target boarding area is determined in the two or more vacant parking spaces.

[0073] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the various processes of the online car-hailing diversion method or the application-end online car-hailing diversion method provided by the embodiment of the present invention, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0074] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by a computer program that instructs related hardware to perform the process, and can be stored in a computer-readable storage medium. When executed, the program can include the processes in the above-described method embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0075] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for diverting online car-hailing services, characterized in that: include: Obtain the license plate number and corresponding reservation information of the target online car within the electronic fence; Based on the license plate information and the reservation information, matching a target lane and a corresponding target boarding time in at least one diversion lane; Based on the target lane and the target boarding time, at least one target boarding area is determined in the target lane, and the target online-hailing vehicle is directed to the target boarding area.

2. The online car-hailing diversion method according to claim 1, characterized in that: Obtaining the license plate number information and corresponding reservation information of the target online car-hailing vehicle within the electronic fence includes: Determine the order in which online-hailing vehicles are dispatched based on the order in which they enter the electronic fence, and obtain the license plate information of the corresponding online-hailing vehicles; Obtaining the reservation information requested by the passenger, including the estimated boarding time and order time; Based on the dispatch order and the order placement time, the license plate number information of the target online car-hailing vehicle is determined.

3. The online car-hailing diversion method according to claim 2, characterized in that: The step of matching a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information includes: Scanning the license plate number information to determine characteristic information corresponding to the license plate number; Processing the characteristic information according to a lane divergence rule to match a target lane in at least one diverging lane; According to the estimated boarding time and the target lane, a corresponding target boarding time is determined.

4. The online car-hailing diversion method according to claim 1, characterized in that: Before matching a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information, the method further includes: Determine the weight of the license plate tail number of online ride-hailing vehicles in the current electronic fence; Based on the weight of the license plate tail number ratio, online ride-hailing vehicles with a high license plate tail number ratio will be diverted to the priority lane; According to preset requirements, priority lanes and non-priority lanes are set according to the distance from the passenger exit area.

5. The online car-hailing diversion method according to claim 4, characterized in that: The characteristic information includes the last number of the license plate, and the processing of the characteristic information according to the lane diversion rule to match a target lane in at least one diversion lane includes: Determine the last number of the license plate through camera module recognition; Match the tail number of the license plate with the preset tail number in the diversion lane to obtain a matching result; Based on the matching result, a target lane for the target online-hailing vehicle is determined in at least one diversion lane.

6. The online car-hailing diversion method as described in claim 1 is characterized in that: The determining at least one target boarding area in the target lane according to the target lane and the target boarding time includes: Determining at least one vacant parking space on the target lane; At least one target boarding area is determined in the at least one vacant parking space based on the at least one vacant parking space and the target boarding time.

7. The online car-hailing diversion method as described in claim 1 is characterized in that: The determining of at least one target boarding area in the at least one vacant parking space based on the at least one vacant parking space and the target boarding time further includes: When there are two or more vacant parking spaces, determining the first time a passenger arrives at the two or more vacant parking spaces; Determining a second time for the target online-hailing vehicle to arrive at the two or more vacant parking spaces; Based on the first time and the second time, at least one target boarding area is determined in the two or more vacant parking spaces.

8. A network car-hailing diversion device, characterized in that: include: The first acquisition module is used to obtain the license plate information and corresponding reservation information of the target online car within the electronic fence; a first matching module, configured to match a target lane and a corresponding target boarding time in at least one diversion lane based on the license plate information and the reservation information; The second determination module is used to determine at least one target boarding area in the target lane according to the target lane and the target boarding time, and guide the target online car-hailing vehicle to the target boarding area.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps in the online car-hailing diversion method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the online car-hailing diversion method as described in any one of claims 1 to 7.

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